101 to 200 Most Popular Boy Baby Names by Pronunciation in the US 2015 - Combined Name Rankings

About Distortion Index

The Distortion Index shows how much the ranking might be skewed by alternative spellings of the same pronunciation. A higher index (closer to 1.0) means the main name represents a smaller portion of the total, indicating the ranking could be misleading. A lower index (closer to 0.0) means the main name dominates, making the ranking more accurate.

Low Distortion (0.07): Jayden (1,000) + Zayden (50) + Jaden (30) = Main name dominates
High Distortion (0.91): Jayden (100) + Zayden (800) + Jaden (200) = Alternative spellings dominate
Distortion Index Color Guide:
0.0-0.29 Low Distortion (Green) - Main name dominates
0.3-0.69 Medium Distortion (Orange) - Moderate alternative spellings
0.7-1.0 High Distortion (Red) - Alternative spellings dominate
Rank Adjustment Explanation:

Adjusted Rank: The primary rank shown reflects the combined count of all similar pronunciation names, providing a more accurate representation of the name's true popularity. Original Rank: The rank in parentheses shows the original ranking based on the main name only, before grouping similar pronunciations.

Rank Change Indicators:
📈 Rank improved (moved up)
📉 Rank declined (moved down)
➡️ Rank unchanged

Advanced Pronunciation Algorithm

We've developed a revolutionary pronunciation comparison algorithm that intelligently groups baby names with similar sounds and pronunciations. Our sophisticated system automatically corrects common typos and misspellings, ensuring accurate name grouping based on phonetic similarity rather than just spelling.

This cutting-edge algorithm uses advanced phonetic analysis to identify names that sound alike but may have different spellings, providing you with the most comprehensive and accurate baby name rankings by pronunciation. 💡 Understanding the Distortion Index is crucial for interpreting these results accurately. While our algorithm is highly accurate, if you notice any grouping errors, please let us know and we'll promptly resolve them.

🔍 Intelligent phonetic analysis and grouping
✏️ Automatic typo correction and misspelling detection
🎯 Accurate pronunciation-based name categorization

Boy Names

Ranking Name Distortion Index Count
101 📈
(Org: 153)
(4,220)
0.36 4,220
102 📉
(Org: 100)
(4,181)
0.02 4,181
103 📉
(Org: 99)
(4,163)
0 4,163
104 📈
(Org: 106)
(4,143)
0.1 4,143
105 📉
(Org: 101)
(4,091)
0.04 4,091
106 📈
(Org: 133)
(4,047)
0.23 4,047
107 📈
(Org: 208)
(4,044)
0.53 4,044
108 📉
(Org: 104)
(4,040)
0.07 4,040
109 📈
(Org: 172)
(3,996)
0.39 3,996
110 📉
(Org: 105)
(3,976)
0.05 3,976
111 📉
(Org: 102)
(3,896)
0 3,896
112 📈
(Org: 115)
(3,884)
0.1 3,884
113 📈
(Org: 390)
(3,832)
0.79 3,832
114 📉
(Org: 103)
(3,826)
0 3,826
115 📉
(Org: 109)
(3,801)
0.02 3,801
116 📉
(Org: 112)
(3,758)
0.05 3,758
117 📉
(Org: 109)
(3,752)
0.01 3,752
118 📈
(Org: 122)
(3,692)
0.1 3,692
119 📉
(Org: 118)
(3,591)
0.05 3,591
120 📉
(Org: 113)
(3,571)
0.01 3,571
121 📈
(Org: 157)
(3,557)
0.26 3,557
122 📉
(Org: 114)
(3,525)
- 3,525
123 📈
(Org: 126)
(3,483)
0.07 3,483
124 📉
(Org: 121)
(3,448)
0.04 3,448
125 📉
(Org: 117)
(3,421)
- 3,421
126 📈
(Org: 206)
(3,407)
0.43 3,407
127 📉
(Org: 120)
(3,405)
0.02 3,405
128 📈
(Org: 131)
(3,382)
0.07 3,382
128 ➡️
(Org: 128)
(3,382)
0.06 3,382
130 📉
(Org: 119)
(3,348)
0 3,348
131 📈
(Org: 145)
(3,305)
0.14 3,305
131 📉
(Org: 123)
(3,305)
0.02 3,305
131 📈
(Org: 139)
(3,305)
0.08 3,305
134 📈
(Org: 159)
(3,289)
0.21 3,289
135 📉
(Org: 124)
(3,253)
0 3,253
136 📉
(Org: 127)
(3,247)
0.01 3,247
137 📉
(Org: 125)
(3,240)
0 3,240
138 📈
(Org: 210)
(3,183)
0.4 3,183
139 📉
(Org: 129)
(3,180)
- 3,180
140 📉
(Org: 134)
(3,146)
0.01 3,146
141 📉
(Org: 130)
(3,139)
- 3,139
142 📉
(Org: 136)
(3,134)
0.03 3,134
143 📈
(Org: 150)
(3,123)
0.12 3,123
144 📉
(Org: 135)
(3,111)
0.02 3,111
145 📉
(Org: 137)
(3,077)
0.01 3,077
146 📉
(Org: 142)
(3,064)
0.03 3,064
147 📈
(Org: 211)
(3,039)
0.38 3,039
148 📉
(Org: 141)
(3,023)
- 3,023
149 📉
(Org: 143)
(2,926)
0 2,926
150 📉
(Org: 149)
(2,917)
0.05 2,917
151 📉
(Org: 144)
(2,903)
0.02 2,903
152 📉
(Org: 146)
(2,863)
0.02 2,863
153 📉
(Org: 147)
(2,806)
0 2,806
154 📉
(Org: 148)
(2,801)
0 2,801
155 📉
(Org: 151)
(2,784)
0.01 2,784
156 📉
(Org: 154)
(2,779)
0.02 2,779
157 📉
(Org: 152)
(2,740)
0 2,740
158 📉
(Org: 156)
(2,705)
0.01 2,705
159 📈
(Org: 163)
(2,692)
0.05 2,692
160 📉
(Org: 155)
(2,687)
- 2,687
161 📈
(Org: 232)
(2,686)
0.38 2,686
162 📈
(Org: 187)
(2,673)
0.17 2,673
163 📉
(Org: 158)
(2,670)
0.03 2,670
164 📈
(Org: 170)
(2,652)
0.07 2,652
165 📈
(Org: 178)
(2,650)
0.11 2,650
166 📈
(Org: 171)
(2,611)
0.07 2,611
167 📉
(Org: 159)
(2,601)
- 2,601
168 📈
(Org: 174)
(2,594)
0.08 2,594
169 📉
(Org: 161)
(2,578)
0 2,578
170 📉
(Org: 161)
(2,573)
- 2,573
171 📈
(Org: 203)
(2,553)
0.22 2,553
172 📉
(Org: 164)
(2,550)
0.01 2,550
173 ➡️
(Org: 173)
(2,511)
0.04 2,511
174 📉
(Org: 167)
(2,487)
- 2,487
175 📉
(Org: 168)
(2,485)
0 2,485
176 📈
(Org: 196)
(2,464)
0.16 2,464
177 📉
(Org: 169)
(2,455)
- 2,455
178 📉
(Org: 175)
(2,422)
0.01 2,422
179 📈
(Org: 239)
(2,414)
0.34 2,414
180 📈
(Org: 181)
(2,411)
0.05 2,411
181 📈
(Org: 184)
(2,401)
0.05 2,401
182 📈
(Org: 194)
(2,386)
0.12 2,386
183 📈
(Org: 277)
(2,384)
0.44 2,384
184 📉
(Org: 176)
(2,378)
- 2,378
185 📉
(Org: 177)
(2,361)
- 2,361
186 📉
(Org: 180)
(2,316)
- 2,316
187 📉
(Org: 185)
(2,265)
- 2,265
188 📈
(Org: 221)
(2,264)
0.22 2,264
189 📈
(Org: 266)
(2,249)
0.39 2,249
190 📉
(Org: 186)
(2,234)
- 2,234
191 📉
(Org: 188)
(2,218)
- 2,218
192 📉
(Org: 190)
(2,176)
- 2,176
193 📈
(Org: 194)
(2,093)
- 2,093
194 📈
(Org: 197)
(2,066)
- 2,066
195 📈
(Org: 215)
(2,051)
0.09 2,051
196 📈
(Org: 237)
(2,040)
0.22 2,040
196 📈
(Org: 209)
(2,040)
0.07 2,040
198 📈
(Org: 200)
(2,039)
0 2,039
199 📉
(Org: 198)
(2,037)
0 2,037
199 📉
(Org: 198)
(2,037)
0 2,037